JOB PURPOSE

To ensure the accurate, timely, and consistent delivery of Coffee operational and commercial performance data through well-maintained Power BI dashboards, supporting the Coffee Executive Committee and senior management in making informed business decisions.

KEY RESPONSIBILITIES

Dashboard Management & Reporting:

• Own the end-to-end maintenance and regular updating of Coffee Power BI dashboards presented to the Coffee Executive Committee and senior management teams.

• Ensure all dashboards reflect current, accurate, and complete data at all times, in line with agreed reporting cadences.

• Consolidate inputs from multiple business units and data sources into coherent, reliable dashboard outputs.

• Proactively identify and resolve data discrepancies, flagging issues to the Operations Support Analyst as appropriate.

• Continuously improve dashboard design, usability, and performance, applying best practices in Power BI development.

• Work closely with the London-based Operations team to align on reporting requirements and priorities.

• Support the Coffee Operations team and Commercial teams with relevant operational data and ad hoc analytical requests.

• Maintain and improve underlying reporting templates and data models to support scalability and efficiency.

JOB REQUIREMENTS

Education: Degree in Business, Economics, Data Analytics, Supply Chain, or a related field

Experience: 1–3 years of experience in reporting, data analytics, or BI roles, with hands-on Power BI development experience

Technical Skills: Strong proficiency in Power BI (dashboard creation, DAX, data modelling, and ongoing maintenance); strong Excel skills (pivot tables, lookups, basic automation)

Languages: Professional English (written and spoken) for collaboration with international teams

Other:

• Demonstrated ability to build and maintain complex, high-visibility dashboards for senior stakeholders.

• Interest in the coffee commodity business and willingness to develop domain knowledge.

• Excellent attention to detail, strong organizational skills, and a structured approach to data quality.

• Proactive, collaborative, and comfortable working independently alongside globally distributed teams.